Machine Learning and Artificial Intelligence in Geosciences / Benjamin Moseley (2020)

Public ISBD Titre : Machine Learning and Artificial Intelligence in Geosciences Type de document : texte imprimé Auteurs : Benjamin Moseley, Auteur ; Lion Krischer, Auteur Editeur : New York : Academic press Année de publication : 2020 Importance : 1 fichier PDF ISBN/ISSN/EAN : 978-0-12-821684-2 Langues : Français (fre) Mots-clés : Machine learning Earth sciences--Data processing Index. décimale : 550.3 Géophysique Résumé : Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. - Provides high-level reviews of the latest innovations in geophysics - Written by recognized experts in the field - Presents an essential publication for researchers in all fields of geophysics Machine Learning and Artificial Intelligence in Geosciences [texte imprimé] / Benjamin Moseley, Auteur ; Lion Krischer, Auteur . - New York : Academic press, 2020 . - 1 fichier PDF. ISBN : 978-0-12-821684-2 Langues : Français (fre) Mots-clés : Machine learning Earth sciences--Data processing Index. décimale : 550.3 Géophysique Résumé : Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. - Provides high-level reviews of the latest innovations in geophysics - Written by recognized experts in the field - Presents an essential publication for researchers in all fields of geophysics

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